Category: Amazon Aurora

Security is a top priority in any organization. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the AWS Cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. Amazon Aurora is a fully managed, MySQL- and PostgreSQL-compatible […]

In this post, we show you how to use advanced replication features between MySQL-compatible databases such as Amazon Aurora MySQL-Compatible Edition clusters or Amazon Relational Database Service (Amazon RDS) for MySQL instances. We discuss two replication capabilities in Amazon RDS and Amazon Aurora: multi-source replication and replication filtering. Multi-source replication is supported only in Amazon […]

In regulated industries like healthcare and finance, auditing database activity is a top priority. Companies need to record the actions performed by database users and administrators to maintain compliance and security. AWS offers robust auditing for databases through Database Activity Streams (DAS). Integrated with Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, DAS produces […]

As businesses continue to scale, the need for highly performant, scalable, and reliable databases becomes paramount. Amazon Aurora, with its advanced features and cloud-native architecture, offers an attractive solution for organizations seeking to upgrade their databases. For mission-critical, large, and complex databases, it is challenging to upgrade databases with near-zero downtime for cutover. In this […]

AWS Lambda is a serverless compute offering that helps you design event-driven architectures. It provides direct integration with multiple AWS services, including Amazon Aurora MySQL-Compatible Edition. In this post, we show you how to invoke Lambda functions from Amazon Relational Databases Service (Amazon RDS) for MySQL and Amazon RDS for MariaDB using Amazon CloudWatch and […]

Amazon Aurora is a high-performance, fully managed relational database service offered by AWS. It is compatible with MySQL and PostgreSQL, providing exceptional scalability, availability, and durability for your data. Amazon Aurora Global Database allows you to replicate up to five different AWS Regions and provides robust disaster recovery capabilities. To ensure the resilience and recovery […]

Generative AI has increased the possibilities for businesses to build applications that require searching and comparison of unstructured data types such as text, images, and video. Embeddings, or vectors, capture the meaning and context of this unstructured data in a machine-readable form, which is the basis for how similarity comparisons can be made directly in […]

Migrating from Oracle to PostgreSQL can involve several steps to ensure a smooth transition. A notable example is an Oracle collection, which is a feature that Oracle database developers commonly use. PostgreSQL does not directly support Oracle collections, and there currently isn’t an extension that adds this capability. There are several decisions you have to […]

Amazon Bedrock is the easiest way to build and scale generative AI applications with foundational models (FMs). FMs are trained on vast quantities of data, allowing them to be used to answer questions on a variety of subjects. However, if you want to use an FM to answer questions about your private data that you […]

The Industrial Internet of Things (IIOT) revolution has transformed the way various industries such as manufacturing and automobile work. Industry 4.0—also called the Fourth Industrial Revolution or 4IR—is the next phase in the digitization of the manufacturing sector, driven by disruptive trends including the rise of data and connectivity, analytics, human-machine interaction, and improvements in […]